PAC-Bayes with Backprop

19 August 2019

Papers citing "PAC-Bayes with Backprop"

14 / 14 papers shown

Title
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness Guangliang Liu Milad Afshari Xitong Zhang Zhiyu Xue Avrajit Ghosh Bidhan Bashyal Rongrong Wang K. Johnson 27 0 0 06 Jun 2024
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss Yi-Shan Wu Yijie Zhang Badr-Eddine Chérief-Abdellatif Yevgeny Seldin 26 1 0 23 May 2024
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 26 9 0 21 Jun 2023
Fundamental Tradeoffs in Learning with Prior Information Anirudha Majumdar 27 0 0 26 Apr 2023
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization Sanae Lotfi Marc Finzi Sanyam Kapoor Andres Potapczynski Micah Goldblum A. Wilson BDL MLT AI4CE 24 51 0 24 Nov 2022
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making Tianyu Liu Jie Lu Zheng Yan Guangquan Zhang 36 0 0 16 Oct 2022
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 16 21 0 31 May 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 17 47 0 11 Mar 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 48 196 0 21 Oct 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 24 34 0 12 Feb 2021
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 27 80 0 23 Jun 2020
Probably Approximately Correct Vision-Based Planning using Motion Primitives Sushant Veer Anirudha Majumdar 3DV 14 21 0 28 Feb 2020
Stochastic Neural Network with Kronecker Flow Chin-Wei Huang Ahmed Touati Pascal Vincent Gintare Karolina Dziugaite Alexandre Lacoste Aaron Courville BDL 24 8 0 10 Jun 2019
PAC-Bayesian Margin Bounds for Convolutional Neural Networks Konstantinos Pitas Mike Davies P. Vandergheynst BDL 41 12 0 30 Dec 2017